Publications by authors named "M H A van Hooff"

Study Question: What is the predictive value of oligomenorrhea and other PCOS diagnostic characteristics in adolescence (age 15-18 years) for future fertility and cardiovascular and metabolic health at adult age?

Summary Answer: Adolescents with oligomenorrhea are more often treated to conceive but are as likely to have as much children as those with regular periods, while persisting oligomenorrhea may associate more often with cardiovascular or metabolic problems.

What Is Known Already: Adolescents with oligomenorrhea have a high risk for adult PCOS associated with subfertility due to ovulatory disorders and long-term health risks. Longitudinal studies to estimate the extent of these risks with input starting at adolescence and covering the complete reproductive lifespan are lacking.

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Purpose: Low cardiorespiratory fitness (CRF) increases the risk of postoperative morbidity and mortality following major surgery. Assessing CRF preoperatively, by measuring peak oxygen uptake (VO) during cardiopulmonary exercise testing (CPET), is valuable yet not widely available. This study aimed to assess whether questionnaires could be used preoperatively to identify high-risk surgical patients.

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This paper describes the development and validation of the Post-Traumatic Stress Disorder Assessment Scale for Emergency Services (PASES). The PASES was developed to address the needs of Australia's first National Mental Health and Wellbeing Study of Police and Emergency Services, which covered Police, Ambulance, Fire and Rescue and State Emergency Services personnel. PASES offers several advantages for use in the emergency services sector over other Post-Traumatic Stress Disorder (PTSD) screening scales, including assessment of functional impairment, a dimensional measure of severity which includes identification of sub-threshold cases experiencing distress and impairment, and allowing for experience of cumulative trauma.

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Study Design: Systematic review.

Objective: This systematic review aims to identify prognostic factors, encompassing biomedical and psychosocial variables, linked to outcome of fusion surgery for chronic low back pain (CLBP) in single or two-level lumbar degenerative spinal disorders. Identifying these factors is crucial for decision making and therefore long-term treatment outcome.

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Objectives: The assessment of lumbar central canal stenosis (LCCS) is crucial for diagnosing and planning treatment for patients with low back pain and neurogenic pain. However, manual assessment methods are time-consuming, variable, and require axial MRIs. The aim of this study is to develop and validate an AI-based model that automatically classifies LCCS using sagittal T2-weighted MRIs.

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